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Rita Rifati
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Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Published by Badan Pusat Statistik Provinsi Jambi
ISSN : 26558084     EISSN : 28285212     DOI : https://doi.org/10.64679/median.v8i01
Core Subject :
Median aims to serve as an academic platform that plays a vital role in disseminating innovative research, enriching scientific literature, and making a meaningful contribution to the advancement of science and technology. Focus and Scope Media Edukasi Data Ilmiah dan Analisis (MEDIAN) is a multidisciplinary, open-access scientific journal dedicated to the rapid publication of high-quality, peer-reviewed research articles in the fields of Mathematics, Statistics, and Informatics. Published by Statistics of Jambi Province, Indonesia, Median is committed to fostering the global exchange of scientific knowledge and ideas. The journal is published twice a year, in June and December, and welcomes submissions from researchers, academics, and practitioners worldwide. Median focuses on a wide range of scientific disciplines, including (but not limited to): Mathematics: Algebra, analysis, geometry, topology, and applied mathematics. Statistics: Mathematical statistics, biostatistics, statistical theory, and statistical methods. Economics: Macroeconomics, microeconomics, development economics, regional economics, and applied economics. Social Sciences: Sociology, demography, public policy, education, and other applied social sciences. Informatics: Computer science, artificial intelligence, data science, machine learning, and big data
Arjuna Subject : -
Articles 90 Documents
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New Normal dan Masa Depan BPS Muji Lestari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 3 No 01 (2020): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v3i01.1

Abstract

The Covid19 pandemic have a widespread impact on socio-economic casualties and losses. In anticipating the impact, every organization needs to be adaptive by adopting new normal with new standards, culture and work values ​​that are healthier, safer and productive. This paper evaluates what is the impact and recovery of Covid19 to BPS future, and proposes a new normal in managing statistical data by taking a case study in the BPS Bungo District. The results of the analysis show that there are direct impacts of Covid19 on BPS. These impacts are lowered direct interaction with respondents, reduced activity in the field and decreased speed of respondents in providing information. Another impact is the reduced intensity of coordination and outreach, field data collection, and presentation of data on social statistics, production, distribution, regional balance sheets and other thematic statistics. Online data collection in the field is not easy because of the lack of community understanding, and the unpreparedness of equipment owned by the community, limited internet access. In facing these changes, BPS still has an important role in providing accurate, up-to-dated and timely basic data. In carrying out this role, BPS needs to implement new actions and new ways of working to maintain the scope, completeness, novelty and quality of the data by undertaking a series of changes (transformation) and redesign (redesign) in data management, human resources, technology and infrastructure and risk management.
Jumlah Anak dan Partisipasi Kerja Perempuan Menikah Aslamia Anwar
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 3 No 01 (2020): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v3i01.2

Abstract

The decision of married women to work considers many factors. The author believes that the presence of children is a major factor influencing maternal work partiicpation. This studi looks at the effect of children on the probability of working married women, taking into account the characteristics of the child, individual, family, welfare, and location of residence. Women’s wok participation in the form of binary categories; work = 1, not work = 0. So the empirical method in this study uses the logistic regression analysis method. The results show that the number of children has a positive effect on maternal work participation.
Cukupkah Beras Kita? Penerapan Metode KSA dalam Estimasi Ketersediaan Beras; Studi Kasus Provinsi Jambi Budi Kurniawan
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 1 No 01 (2018): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v1i01.3

Abstract

Many parties have indicated inaccuracies in rice production data since 1997. To date, rice production figures have been calculated as the product of harvested area and productivity. The harvested area, using an area-based (sub-district) approach, has been reported monthly in stages by officers from the Regency/City Agricultural Service (PPL, Mantri Tani/KCD). Typically, the area is estimated using irrigation block systems, seed procurement records, and/or “eye estimates.” This approach is more of a Subjective Measurement. Meanwhile, the estimation of productivity has been conducted through the Crop-Cutting Survey (Survei Ubinan), using a household-based approach for food crop cultivators. Measurements are carried out by BPS officers and Regency/City Agricultural Service officers (PPL, Mantri Tani/KCD) on sample plots of 2.5 m × 2.5 m to estimate productivity per hectare. The measurements are conducted according to sub-rounds/quarters. Rice production figures are calculated for each sub-round, with data presented up to the regency/city level. Provincial figures are compiled from regency/city data, and national figures are compiled from provincial data. Data bias due to subjectivity also accumulates at every level of aggregation up to the national level. A study conducted by the Central Statistics Agency (BPS) in collaboration with the Japan International Cooperation Agency (JICA) in 1998 indicated an overestimation of harvested area of about 17.07 percent [Source: BPS, Survey on Rice Planting Area Using a Household Approach in Java, 1996/97]. Similarly, the calculation of irrigated rice field areas has tended to increase—despite the fact that in reality, land conversion for industry, housing, or infrastructure has taken place, although in some cases new rice fields have also been developed. Although these issues had long been suspected, efforts to improve the methodology for calculating rice production were only undertaken in 2015. This was driven by the increasing urgency of providing faster and more accurate information and data on rice production to support decision-making in the national food sector. The previously applied method for estimating harvested area was considered less scientific, leading to results that were not objective, unmeasurable, and often overestimated. Therefore, a shift towards a more scientific and objective methodology was deemed necessary.
TARGET PEREKONOMIAN UNTUK MEREDUKSI PENGANGGURAN SUMATERA: PENERAPAN HUKUM OKUN DI SUMATERA 2018 Kuswan Gunanto; Rita Rifati
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 1 No 01 (2018): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v1i01.4

Abstract

Sumatra Island, also sometimes known as Percha Island, Andalas Island, or Swarnadwipa Island, is a large island surrounded by several smaller islands. Sumatra, along with its surrounding islands (hereinafter referred to as Sumatra), is inhabited by at least 57,940,351 people. Geographically, Sumatra lies between 6°N–6°S latitude and 95°E–109°E longitude, stretching from Kuta Raja in the north to Tanjung Cina in the south. Along its western part lies the Bukit Barisan mountain range, which runs from north to south. Administratively, Sumatra consists of 10 provinces: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung Islands, and Riau Islands. These 10 provinces are further divided into 154 regencies/municipalities and 1,936 districts. Sumatra has succeeded in maintaining stable economic growth. In the context of the global economy, the term “new normal” has emerged, referring to a period in which economic growth is lower than the period before the 2008 global financial crisis. This term was popularized by Mohamed A. El-Erian, the head of PIMCO. According to Todaro (2000), economic growth is an important factor in driving job creation. Since the labor force is an integral part of an economic system, labor planning and economic development must therefore be supported by highly logical and scientific arguments.
Kerja Sambil Kuliah, Diploma atau Universitas? Analisis Data Sakernas Provinsi Jambi Tahun 2014-2016 Sisilia Nurteta
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 1 No 01 (2018): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v1i01.5

Abstract

This study analyzes the rate of return on investment in higher education in Jambi Province, using Sakernas (National Labor Force Survey) data for the years 2014–2016. The focus of the research is on the labor force aged 15–64 years, and the method employed is the Two-Step Heckman approach, which first estimates the probability of labor force participation, followed by income estimation using the Mincerian Earnings Function model. The results of the analysis show that the rate of return on investment in education for workers with a Diploma degree is higher than that for those with a Bachelor’s, Master’s, or Doctoral degree (S1/S2/S3). However, when comparing 2014 and 2015, the rate of return on investment in S1/S2/S3 education shows an increasing trend.
Optimalisasi Data Podes dan Dana Desa Bagi Percepatan Pembangunan Desa Muji Lestari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 1 No 01 (2018): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v1i01.6

Abstract

The challenges faced in managing Village Funds (Dana Desa) are not only the lack of readiness among communities and village governments in managing these funds, but also the suboptimal dissemination, facilitation, and assistance provided by facilitators as well as local government officials. Another challenge is the limited capacity of village officials in planning programs and activities financed through Village Funds. In addition, an important challenge to be addressed is the management of village data and information as the basis for planning, monitoring, and evaluating village development performance. Therefore, BPS (Statistics Indonesia) together with Village Governments, Subdistrict Heads, and Regency/Municipal Governments need to optimize the management and utilization of Village Potential Statistics (PODES) data, alongside Susenas (National Socio-Economic Survey) data and other relevant data, as inputs for formulating policies, programs, and village development activities. With accurate data and information, proper facilitation, and the support of local governments, the management of Village Funds can foster the realization of strong, advanced, independent, and democratic village governance and development, as well as the growth of a fair, prosperous, and prosperous village society.
LETAK GEOGRAFIS Adakah Pengaruhnya Terhadap Inflasi? Risma Hapsari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 1 No 01 (2018): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v1i01.7

Abstract

In general, inflation can be defined as an increase in prices. According to Statistics Indonesia (BPS), inflation is the tendency of prices of goods and services in general to rise continuously. In other words, inflation is a persistent increase in the level of consumer prices or a persistent decline in the purchasing power of money. High inflation becomes a burden for many parties. When inflation rises, it means the prices of goods and services in the domestic market increase. This price increase reduces the value of money. The decline in purchasing power reduces the ability of households with fixed incomes to buy daily necessities. An unstable rate of price increases also makes planning difficult for businesses and causes other negative impacts that are not conducive to the overall economy. For these reasons, every country seeks to control the rate of inflation. Economists understand that there are several reasons behind inflation. From the supply side, inflation in Indonesia is caused by rising prices due to higher input costs, government pricing policies, and supply shocks. Supply shocks refer to price increases caused by disruptions on the supply side, such as natural disasters, droughts, and distribution interruptions, which hinder the flow of goods to markets, thereby reducing supply, raising prices of goods, and ultimately increasing the rate of inflation. Indonesia is prone to earthquakes because it lies at the convergence of three tectonic plates: the Indo-Australian Plate, the Eurasian Plate, and the Pacific Plate. The island of Sumatra is located close to the meeting point of two plates the Eurasian Plate and the Indo-Australian Plate which are constantly moving and can cause earthquakes at any time. Natural disasters can lead to local or regional price increases. According to Hasbullah (2012), price increases in neighboring regions may be interrelated. Such interrelations between regions arise from mutual dependence in meeting the demand for goods and services. Several other studies also indicate that the prices of goods and services in a particular region are influenced by geographical proximity, especially among directly bordering areas.
PENGHITUNGAN NON SAMPLING ERROR Kajian Literatur menjelang Sensus Penduduk 2020 Sisilia Nurteta
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 1 No 01 (2018): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v1i01.8

Abstract

The population census is a very important source of demographic data. The population serves as both the subject and object of development. People are not only the capital of development but also its target. The goals of development are to build an Indonesia that is sovereign, advanced, just, and prosperous—an Indonesia with excellent human resources, a strong cultural identity, mastery of science and technology, equitable and inclusive development, a progressive and sustainable economy, and a democratic, strong, and clean state. The population census is one of the portraits of development achievements to date. It provides comprehensive, internationally standardized information on the size, composition, distribution, and characteristics of Indonesia’s population, along with the complexities of its changes, down to the smallest administrative level. Given the importance of the 2020 Population Census (SP2020), preparations were made well in advance. The implementation of the 2020 Population Census carried the vision of producing accurate data that could serve as a benchmark with comprehensive coverage. Producing accurate and comprehensive data means that every individual must be enumerated once, with no duplication, and at the correct place and time. Thus, the results can serve as a benchmark for demographic data, even down to the smallest area level. One crucial component in ensuring the quality of the population census data is addressing potential sources of both sampling and non-sampling errors. Sampling error arises because of sampling itself—i.e., the difference between estimates from a sample survey and the true parameter values that would have been obtained through a full enumeration. Non-sampling error, on the other hand, refers to errors not related to sampling, such as coverage errors, nonresponse errors, measurement errors, and processing errors (Groves, 1989). Identifying both sampling and non-sampling errors is therefore essential to reduce error sources and, in turn, improve data quality.
Analisis Cluster Kemiskinan Dan Indeks Pembangunan Manusia di Indonesia dengan Data Outlier Menggunakan K-Medoids dan Analisis Biplot Adina Astasia
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 4 No 02 (2021): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v4i02.9

Abstract

Poverty is still a global and national problem. In the context of accelerating poverty alleviation, a strategyis needed to facilitate the government in making policy, one of which is by grouping areas so that priority areas and pilot areas can be determined. The purpose of this study is to classify provinces in Indonesia based on the variables of poverty, life expectancy, average length of schooling, expected length of schooling, and per capita expenditure in 2020 using the k-medoids cluster. This method was chosen because of the indication of outliers in the data. The results of the study resulted in 3 clusters, where cluster 1 has the characteristics of the highest poverty level, while the life expectancy, average length of schooling, and the lowest per capita expenditure, cluster 2 has the characteristics of a medium variable average, while cluster 3 has the lowest poverty rate and average the highest other variables. From this research, recommendations are given to prioritize the development of education and health systems, as well as programs for poverty alleviation in cluster 1. Meanwhile, cluster 3 can be used as a pilot area in the development of education, health, and poverty alleviation systems.
Analisis Dampak Belanja Daerah terhadap Kemiskinan di Jambi Muji Lestari
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 4 No 02 (2021): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v4i02.10

Abstract

To reducting poverty consistently in the long term is goal of regional development. Local governments have an obligation to overcome poverty through effective and targeted spending policies. This study aims to analyze the impact of increase in local government spending and to find out what types of spending are effective in reducing poverty in Jambi Province. The analytical method is multiple linear regression analysis, with the rate of economic growth, the ratio of capital expenditure to total regional expenditure, the ratio of regional expenditure to health, and the ratio of education expenditure to total regional expenditure as independent variables. The results proved that local government capital expenditures and health spending have a direct impact on poverty reduction in Jambi Province. The increase in capital expenditure will encourage the needed to increase production capacity, increase demand for raw materials, expand employment opportunities, and create value added and income for the poor. On the other hand, education spending do not have a significant impact on reducing poverty. But in long term, it would improve the quality of human resources and labor productivity on reducing poverty in Jambi Province. The policy implication is the priorities of local government spending by giving a larger portion that are directly benefitted to the poor, especially capital expenditures in agriculture, plantation and fishery sectors. In addition, local governments must facilitate the development of small and medium enterprises, including facilitating more access to working capital, technology, information and market, also improving on health access and infrastructure.

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